2021
DOI: 10.3390/ijerph182111612
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Nursing Students’ Subjective Happiness: A Social Network Analysis

Abstract: Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspe… Show more

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Cited by 10 publications
(6 citation statements)
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“…Further substantiating the pivotal role of social network analysis, an examination of collaborative study groups within a university student cohort revealed that those possessing higher centrality and greater reciprocated ties demonstrated superior academic performance, subsequently reflecting more favorable academic aptitude assessments [4]. Likewise, akin profiles of students in another study exhibited elevated indices of happiness and improved mental health states [5], thereby furnishing foundational postulates for this study.…”
Section: Literature Reviewsupporting
confidence: 53%
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“…Further substantiating the pivotal role of social network analysis, an examination of collaborative study groups within a university student cohort revealed that those possessing higher centrality and greater reciprocated ties demonstrated superior academic performance, subsequently reflecting more favorable academic aptitude assessments [4]. Likewise, akin profiles of students in another study exhibited elevated indices of happiness and improved mental health states [5], thereby furnishing foundational postulates for this study.…”
Section: Literature Reviewsupporting
confidence: 53%
“…Through this network data, researchers can also comprehend the overall scale and organizational structure of the entire social network, along with various nodes representing students' positions within these networks. Through further computations, various network-related metrics of the entire network and individual nodes can be derived, including measures such as network density, connectivity, average distance, centrality, reciprocity, and more, as referred to in the context of nursing student well-being [5].…”
Section: Analysis On the Problemsmentioning
confidence: 99%
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“…The cognitive evaluation of happiness depends on individual experiences. High SH is a protective factor against the harmful effects of negative emotions [ 89 ]. In our study, physiotherapists who showed lower scores in the evaluation of SH were those with low resilience who were working directly with COVID-19 patients.…”
Section: Discussionmentioning
confidence: 99%
“…The low-resilience group presented lower scores for SH, compared with the high-resilience group (4.25 [3.62-5.00] vs. 5.50 [5.00-6.25]), p < 0.001 (Table 4). Table 5 shows that participants working with COVID-19 patients had lower scores (median (IQR)) on the SF-36, compared with those who do not work with COVID-19 patients (p < 0.001): physical functioning (85 vs. 95 [85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100]), role-physical (50 vs. 100 ), bodily pain (51 vs. 84 ), general health (67 vs. 80 , vitality (40 vs. 65 ), role-emotional (33 [0-100] vs. 100 [91][92][93][94][95][96][97][98][99][100]), and mental health (52 vs. 82 ). There was no difference in social functioning between the COVID and NO COVID groups (50 [37][38][39][40][41][42][43][44][45][46][47][48][49][50] vs. 50 [37]…”
Section: Sf-36 and Shs For Groups Categorized In Terms Of Resilience ...mentioning
confidence: 99%